Abstract
In this paper, based on cellular automata, a virus spread model, is proposed to investigate the virus spreading in weighted scale-free networks. In this model, each node of the network can be in one of four states: susceptible, exposed, infective and recovered. The transition rate from S to E of each susceptible node is related to its neighbors’ states and its connected weights with neighbors. Through some useful results obtained by the analysis and simulations, we can understand virus spreading in weighted scale-free networks better.
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Wang, NN., Chen, GL. (2013). A Virus Spread Model Based on Cellular Automata in Weighted Scale-Free Networks. In: Yang, G. (eds) Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Advances in Intelligent Systems and Computing, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31698-2_164
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DOI: https://doi.org/10.1007/978-3-642-31698-2_164
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31697-5
Online ISBN: 978-3-642-31698-2
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